In recent years many multi-label classification methods have exploited label dependencies to improve performance of classification tasks in various domains, hence casting the tasks to structured prediction problems. We ...

This paper describes a new aspect language construct for Squeak, named FACETS. Aspects are completely integrated within the Squeak programming language and its environment. The innovations of FACETS are: (i) traits can ...

The quality of realistic virtual human faces has increased in recent years with the availability of new technologies such as photogrammetry systems to scan actors and reproduce their shape and texture digitally with minute ...

Portraying traditional cinematic narratives in virtual reality (VR) is an emerging practice where often the methods normally associated with cinematic storytelling need to be adapted to the 360 format. In this paper we ...

Modern systems that execute in ubiquitous environments must be adaptive in order to maintain an acceptable quality of service. As in traditional distributed systems, faults in such systems are likely to propagate across ...

We present a novel network architecture that establishes dynamic optical paths by analyzing local network traffic. We demonstrate its feasibility and effectiveness through a network analysis using real traces collected ...

Dimensionality reduction is a very important step in the data mining process. In this paper, we consider feature extraction for classification tasks as a technique to overcome problems occurring because of ?the curse ...

E-mail has emerged as one of the primary means of communication used in the world today. Its rapid adoption has left it ripe for misuse and abuse. This came in the guise of Unsolicited Commercial E-mail (UCE) or as it is ...

Feature interaction describes a situation where the combination of two or more services that individually perform correctly results in unexpected and possibly adverse behaviour. Such feature interaction issues have first ...